Difference between revisions of "CyberShake Study 21.12"

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== ERF ==
 
== ERF ==
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The ERF was generated from an RSQSim catalog, with the following parameters:
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*715kyr catalog (the first 65k years of events were dropped, so that every fault's first event is excluded)
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*220,927 earthquakes with M6.5+
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*All events have equal probability, 1/715k
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Additional details are available on the [http://opensha.usc.edu/ftp/kmilner/markdown/rsqsim-analysis/catalogs/rundir4983_stitched/#bruce-4983-stitched catalog's metadata page.]
  
 
== Sites ==
 
== Sites ==

Revision as of 21:51, 1 December 2021

CyberShake 21.12 is a computational study to use a new ERF with CyberShake, generated from an RSQSim catalog. We plan to calculate results for 336 sites in Southern California using the RSQSim ERF, a minimum Vs of 500 m/s, and a frequency of 1 Hz. We will use the CVM-S4.26.M01 model, and the GPU implementation of AWP-ODC-SGT enhanced from the BBP verification testing. We will begin by generating all sets of SGTs, on Summit, then post-process them on a combination of Summit and Frontera.

Status

This study is in the pre-production phase. Production is scheduled to begin in mid-December, 2021.

Data Products

Science Goals

The science goals for this study are:

  • Calculate a regional CyberShake model using an alternative, RSQSim-derived ERF.
  • Compare results from an RSQSim ERF to results using a UCERF2 ERF (Study 15.4).

Technical Goals

The technical goals for this study are:

  • Perform a study using OLCF Summit as a key compute resource.
  • Evaluate the performance of the new workflow submission host, shock-carc.
  • Use Globus Online for staging of output data products.

ERF

The ERF was generated from an RSQSim catalog, with the following parameters:

  • 715kyr catalog (the first 65k years of events were dropped, so that every fault's first event is excluded)
  • 220,927 earthquakes with M6.5+
  • All events have equal probability, 1/715k

Additional details are available on the catalog's metadata page.

Sites

Velocity Model

Performance Enhancements (over Study 18.8)

Output Data Products

Computational and Data Estimates

Lessons Learned

Performance Metrics

Production Checklist

Presentations, Posters, and Papers